Information service system and method

Abstract

The present invention relates to an information service system and method. The information service system comprises a quotation access server, a quotation calculation server and a core server, wherein the quotation access server is used for receiving quotation information from different quotation resources and sending the quotation information to the quotation calculation server and the core server, the quotation calculation server is used for receiving quotation information from the quotation access server, calculating the quotation, taking calculation results as quotation information and sending the calculation results to the core server; the core server is used for storing the quotation information received from the quotation access server and the quotation calculation server, and sending quotation information requested by clients to the clients when the clients request quotation information. The response speed and processing capability of the core server for client requests can be improved by the system and the method, and the efficiency of the information service system is accordingly improved.

Description

technical field [0001] The invention relates to consulting services in the financial field, in particular to an information service system and method. Background technique [0002] With the integration of the information industry and the financial industry, the informationization level and service level of the financial industry have been greatly developed. At present, the amount of data, user visits, and complexity in the financial industry have reached a certain scale and degree. With the business innovation of the financial industry, a series of applications such as real-time quotes and mobile wallets have been developed, and these applications are inseparable from related information services. This requires that information services that provide data and related services have high concurrency and support a large number of users. [0003] However, in the prior art, a single point server system is usually used to acquire service information. figure 1 For the structure o...

AI Technical Summary

Problems solved by technology

This traditional structure is not suitable for large-scale applications because:

[0004] First, the main load point of the system lies in the server. The performance and execution efficiency of the server become the core of the whole system. In the market consulting service, the processing and calculation logic of the market data is complex and takes up a lot of resources, which makes the server used to process customers. The resources requested by the client are reduced, especially when a large number of users are concurrent, which will have a great impact on the real-time performance of request processing

[0005] Second, due to the inconsistent source of market data, for example, the market data of some exchanges is obtained through the database, and some are obtained through network sockets, etc., directly connecting the market source to the server for processing will limit the scalability of the system

[0006] Third, resources cannot be effectively and rationally used. As a result, when the market is fast, the system responds too slowly to client requests due to a large number of processing calculations. fast processing

[0007] Fourth, it takes a long time to repair the system when abnormalities and single-point failures occur. When there are market data errors or system downtime, especially when there are wrong prices or other data in the market data, it is difficult to repair the data, and Lack of a unified data correction module to correct all cluster units

The use of this distributed technology takes advantage of the advantages of server clusters. Some single point failures will not lead to the collapse of the entire system, but it does not make full use of the idle resources of the client, nor does it solve the unified access problem of different market sources.

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